UTILIZING INTEGRATED BIOINFORMATICS AND MACHINE LEARNING APPROACHES TO ELUCIDATE BIOMARKERS LINKING SEPSIS TO FATTY ACID METABOLISM-ASSOCIATED GENES

Utilizing integrated bioinformatics and machine learning approaches to elucidate biomarkers linking sepsis to fatty acid metabolism-associated genes

Abstract Sepsis, characterized as a systemic inflammatory response triggered by the invasion of pathogens, represents a continuum that may escalate from mild systemic infection to severe Discontinued sepsis, potentially resulting in septic shock and multiple organ dysfunction syndrome.Advancements in lipidomics and metabolomics have unveiled the co

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Potential role of long non-coding RNA (nuclear paraspeckle assembly transcript 1 and metastasis associated lung adenocarcinoma transcript 1) in periodontitis pathogenesis: A systematic review

Background: Dysregulation of Long non-coding (lnc)RNAs has been linked to periodontitis, with potential importance in disease onset and progression.These lncRNAs potentially modulate inflammatory/immune responses during periodontitis.This review aimed to highlight the potential role of Nuclear Paraspeckle Assembly Transcript (NEAT)1 and Metastasis

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